Engineering Science Letter

Impact of Organization and Administration of Motor Vehicle Mechanics Work Workshop for Improving Skill Acquisition

Stephen Z. Kumazhege — 2023-10-18

The study aims to investigate the organization and administration of the Motor Vehicle Mechanics Work (MVMW) Workshop in Government Science and Technical Colleges in Gombe State, Nigeria, focusing on improving student skill acquisition. The study, which had two research questions and hypotheses, adopted a descriptive survey research design, and the study population comprised 42 administrators (principals, vice principals, senior masters and mistresses, and MVMW Head of Departments) and 21 MVMW teachers, making a total of 63 respondents. Whole population sampling was adopted for the study. A researcher-developed questionnaire collects data, with responses rated on a Likert scale. Descriptive statistics, such as mean and standard deviation, were employed to answer research questions, and a t-test was used to test hypotheses. The findings reveal that the organizational and administrative structures significantly impact skill acquisition in the MVMW Workshop. Administrators and teachers agree on the positive effects of these structures. Recommendations are proposed, emphasizing the need for well-designed organizational layouts, effective administrative systems, and collaborative efforts between administrators and teachers to optimize workshop functionality and enhance student skill development.

Revolutionizing Accounting through Digital Transformation: The Impact of Technology

Bernadeth Trisha Marvellyn Surya — 2024-01-25

This research paper delves into the transformative impact of digital technologies on the accounting industry, emphasizing the imperative for adaptation in the face of global organizational digitization. Examining the intricate consequences of digital transformation on accounting processes, the study addresses challenges, prospects, and shifts in perspective resulting from technological integration. Employing a questionnaire as the primary data-gathering tool, opinions were solicited from a diverse sample of 120 institutions spanning industries such as communications, insurance, food, and cleaning materials. Utilizing the Rensis Likert five-point rating system, responses were collected from 237 participants out of the 320 electronic questionnaires distributed via email. The findings underscore the necessity of a comprehensive strategy encompassing skill development, technology adoption, cultural change, and proactive engagement with regulatory and technological advances. This approach is essential for successfully navigating the evolving landscape of digital transformations in the accounting industry. Implementing these recommendations positions accountants, companies, and legislators to thrive in the progressively digital financial environment.

Business Intelligence Solutions for Enhanced Accounting Decision-Making in Digital Transformation

Vivien Amara Jones — 2024-02-05

In the era of fast-growing digital transformation, integrating business intelligence (BI) solutions in accounting decision-making has become essential for companies. This research reviews the critical role of BI solutions in optimizing the accounting decision-making process amid digital transformation. The method used in this research is a descriptive method with a qualitative approach, while the data used is secondary data obtained from previous studies. The data was collected through literature study techniques and analyzed qualitatively. The results of this study show that Business Intelligence (BI) plays a vital role in optimizing financial data presentation, adaptability to business changes, and providing competitive advantage through informed decision-making, especially in today's digital era. Implementing BI in an economic environment can improve efficiency, provide deep insights, and strengthen a company's competitiveness. BI is a technology tool and a strategic foundation supporting a company's success in the ever-changing digital era through its adaptability and ability to process data for decision-making.

The Role of ICT in Skilled Manpower Development: A Study of Plateau State Polytechnic, Barkin-Ladi Nigeria

Innocent Nasuk Dajang — 2024-02-10

Information and Communication Technology (ICT) in workforce development is an essential and rapidly growing study area. An increasing number of countries are now undertaking training to develop skills in the use of ICT in teaching and other school activities to ensure higher efficiency, higher productivity, and higher educational outcomes, including quality of cognitive, creative, and innovative thinking. Against this backdrop, this study examined the role of ICT in skilled workforce development in polytechnics with Plateau State Polytechnic, Barkin–Ladi as the focus. Using the WhatsApp platform, a focus group discussion was conducted with eighteen academic staff members of the Department of General Studies of the Plateau State Polytechnic for data collection. The theoretical framework adopted for the study was the Computer-Aided Language Learning (CALL). Amongst other findings, the study discovered that computers and the internet have become indispensable worldwide and have frequently aided the training of skilled workforce and the creation of jobs and economic growth. It concluded that using ICT in lecture preparation and presentation, instructional delivery, individualized learning, collaboration, and evaluation of learning will significantly benefit our society in skilled workforce development for nation-building.

A Glimpse to the Future: Identifying Stroke Risk Factors Using Data Visualization for Stroke Prediction

Marion Az-Zahra — 2024-02-14

According to the World Health Organization (WHO), stroke stands as the second leading cause of death, accounting for 11 percent of total deaths in the world. This study identifies risk factors associated with stroke that could help predict the likelihood of a person getting a stroke by assessing input parameters such as gender, age, medical conditions related to stroke and cardiac disease, smoking status, body mass index, and average glucose level, among others. The results, presented with data visualization, showed that the above risk factors were significant in signifying stroke incidence.

Diabetes Prediction Using Medical Variables: Analysis & Data Visualization

Anddrew Richmond Thezo — 2024-02-27

Diabetes is a chronic illness that develops when the body either cannot use the insulin that the pancreas produces properly or does not produce enough of it. One hormone that controls blood sugar is insulin. Approximately 48% of all deaths caused by diabetes occurred before the age of 70 in 2019. Diabetes was the direct cause of 1.5 million deaths in 2019 based on the report from WHO (World Health Organization). This study shows the classification of whether someone has diabetes or not using the 8 datasets (medical variables) of age, gender, body mass index (BMI), hypertension (blood pressure), heart disease, smoking history, HbA1c level, and blood glucose level as the risk factors to predict diabetes in patients based on their medical history and demographic information. Furthermore, the result of this study will be presented with analysis and data visualization.

Hysteresis Dynamic Behavior of Pneumatic Artificial Muscle

Vo Ngoc Yen Phuong — 2024-04-03

The purpose of this work paper is to analyze the effects of friction on the hysteresis dynamic behavior of pneumatic artificial muscle (PAM). Due to the structure of the PAM, the dynamic response is not only affected by the compressed air but also the friction phenomenon. Indeed, the pipe of the PAM called the bellow is made from rubber simultaneously reinforced by metal fibers that are wrapped around the bellow. Hence, the effect of the friction between fibers, between fiber and rubber will be considered in the nonlinear dynamic of the PAM. From dynamic analysis, the complex stiffness model will be attained and analyzed. Comparison between the analysis model and experimental results is realized subjected to harmonic displacement excitation. The results proved the effectiveness of the analysis model. The studied model is a suitable tool in the field of systems vibration analysis using PAM as an elastic element, actuator.